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: Development and demonstration of 3D-in vitro environment for of electric field interference neuronal simulation with self-organized networked electrode array Project tasks and objectives: The BRAINET is an EU
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, spectroscopy, and imaging instruments forward to complement our molecular tools. One of our main topics are so-called photoswitching proteins whose photophysical properties (e.g. on/off fluorescence emission
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27 Jan 2026 Job Information Organisation/Company DFG-TRR/CRC 298 Research Field Biological sciences Chemistry Engineering Medical sciences Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Feb 2026 - 23:59...
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: Multibody system dynamics Grant/funding period: START: 01/01/2023 END: 20/11/2026 Centre of Principal Researcher: CITENI PURPOSE OF CONTRACT: Numerical simulations of offshore aquaculture facilities
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through molecular dynamics, simulations, and benchmarks Active Learning in Configurational and Chemical Spaces Integrate uncertainty-aware MLFFs into active learning frameworks Explore automated dataset
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simulation techniques, including density functional theory (DFT), molecular dynamics, Monte Carlo methods, and free‑energy perturbation calculations. Develop and implement novel computational methodologies and
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its competitive edges in technology, health and society. www.tuni.fi/en . The Laboratory of Biosystems Dynamics (LBD) of the Faculty of Medicine and Health Technology of Tampere University is looking
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determination: Bradford, ELISA technique, multiplex LUMINEX technology Methods for the analysis of gene and protein expression data References: Alberts B. et al., Molecular Biology of the Cell. Sixth Edition
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and animal experiments examining vascular smooth muscle cell (VSMC) phenotypic reprogramming and its role in the pathogenesis of atherosclerosis. They will execute advanced molecular and genomic
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datasets across broad chemical space Evaluate models through molecular dynamics, simulations, and benchmarks Active Learning in Configurational and Chemical Spaces Integrate uncertainty-aware MLFFs